Tom Buxton
Databricks Platform Architect @Improving
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WORK HISTORY
Databricks Platform Architect @Improving
Databricks architect for the platform team of a US consortium of businesses and investments based out of Houston, Texas. The team has developed an automated platform to build and recycle ephemeral Databricks environments, allowing a small team to manage a growing pool of workspaces and related resources. Technologies include Python Databricks CLI and SDK, Terraform, GitHub Actions, and Fivetran data ingestion pipelines.
EDUCATION
Newcastle University
Bachelor’s Degree, Geophysics with Planetary Physics
Udemy Academy
Certificates, Data Science and Analytics, Business Intelligence
Lancaster University
Master of Science - MS, Data Science
SKILLS
ABOUT TOM BUXTON
I graduated with distinction from Lancaster University in the UK in 2020, with an MSc in Data Science, computing specialism. Related experience includes classification and clustering techniques in Python and R, natural language processing (NLP, NLTK), Apache Hadoop, Neo4j graph databases and RDF knowledge graphs. I am an experienced data and software professional, quality and goal-orientated, with a history of delivering innovative solutions in engineering and software from business case analysis through to final deployment. Since graduating with an MSc in Data Science I’ve been consistently employed in data science, data engineering and Databricks platform architecture roles. Previously I have 10+ years in Schlumberger’s data services and real-time engineering groups, where I architected and delivered their data validation and data delivery systems for Western Canada. I am familiar with RDBMS systems, T-SQL, DAX, XML and XSLT. My web solutions experience includes both front-end and back-end technologies, and I have fulfilled roles including information architect, application architect, agile team lead, software developer, and UX designer.
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